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Machine Translation Summit (MT Summit) 2007: all accepted papers

121 papers · page 1 of 2 · the most cited first · ← Machine Translation Summit (MT Summit) 2007

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  1. A Chinese-to-Chinese statistical machine translation model for mining synonymous simplified-traditional Chinese terms ↗Jing-Shin Chang, Chun-Kai Kung · Papers
  2. A Japanese-English patent parallel corpus ↗Masao Utiyama, Hitoshi Isahara · Papers
  3. A MT system from Turkmen to Turkish employing finite state and statistical methods ↗Ahmet Cüneyd Tantuğ, Eşref Adali, Kemal Oflazer · Papers
  4. A probabilistic approach to linguistic analysis in machine translation output evaluation ↗Olivier Gouirand
  5. A state-of-the-art statistical machine translation system based on Moses ↗Daniel Déchelotte, Holger Schwenk, Hélène Bonneau-Maynard et al. · Papers
  6. A system to mine large-scale bilingual dictionaries from monolingual web pages ↗Guihong Cao, Jianfeng Gao, Jian-Yun Nie · Papers
  7. A tree-to-tree alignment-based model for statistical machine translation ↗Min Zhang, Hongfei Jiang, Ai Ti Aw et al. · Papers
  8. All links are not the same: evaluating word alignments for statistical machine translation ↗Paul C. Davis, Zhuli Xie, Kevin Small · Papers
  9. Analogical translation of unknown words in a statistical machine translation framework ↗Etienne Denoual · Papers
  10. Arabic diacritization in the context of statistical machine translation ↗Mona Diab, Mahmoud Ghoneim, Nizar Habash · Papers
  11. Aspect marker generation in English-to-Chinese machine translation ↗Yang Ye, Karl-Michael Schneider, Steven Abney · Papers
  12. Assessing human and automated quality judgments in the French MT evaluation campaign CESTA ↗Olivier Hamon, Anthony Hartley, Andrei Popescu-Belis et al. · Papers
  13. Automatic evaluation in MT system production ↗Gregor Thurmair
  14. Automatic evaluation of generation and parsing for machine translation with automatically acquired transfer rules ↗Yvette Graham, Deirdre Hogan, Josef van Genabith
  15. Automatic evaluation of machine translation based on recursive acquisition of an intuitive common parts continuum ↗Hiroshi Echizen-ya, Kenji Araki · Papers
  16. Automatic extraction of entries for a machine translation dictionary using bitexts ↗Julia Aymerich, Hermes Camelo · Papers
  17. Automatic language translation generation help needs badly ↗Kevin Knight
  18. Automatic validation of terminology translation consistenscy with statistical method ↗Masaki Itagaki, Takako Aikawa, Xiaodong He · Papers
  19. Better n-best translations through generative n-gram language models ↗Boxing Chen, Marcello Federico, Mauro Cettolo · Papers
  20. Building Japanese-Chinese translation dictionary based on EDR Japanese-English bilingual dictionary ↗Yujie Zhang, Qing Ma, Hitoshi Isahara · Papers
  21. Building a sense-distinguished multilingual lexicon from monolingual corpora and bilingual lexicons ↗Marcus Sammer, Stephen Soderland · Papers
  22. Client centric multilingual information leveraging – scale the skills ↗Doris Marty-Albisser · Invited papers
  23. Combining data-driven MT systems for improved sign language translation ↗Sara Morrissey, Andy Way, Daniel Stein et al. · Papers
  24. Comparative study of word alignment heuristics and phrase-based SMT ↗Hua Wu, Haifeng Wang · Papers
  25. Comparing parallel corpora and evaluating their quality ↗Heiki-Jaan Kaalep, Kaarel Veskis · Papers
  26. Comparing rule-based and data-driven approaches to Spanish-to-Basque machine translation ↗Gorka Labaka, Nicolas Stroppa, Andy Way et al. · Papers
  27. Content determination in GRE: evaluating the evaluator ↗Kees van Deemter, Albert Gatt
  28. Context-based evaluation of MT systems: principles and tools ↗Maghi King, Andrei Popescu-Belis, Paula Estrella · Tutorials
  29. Context-dependent phrasal translation lexicons for statistical machine translation ↗Marine Carpuat, Dekai Wu · Papers
  30. Cost-based attribute selection for GRE (GRAPH-SC/GRAPH-FP) ↗Mariët Theune, Pascal Touset, Jette Viethen et al.
  31. DIT: frequency based incremental attribute selection for GRE ↗J. D. Kelleher
  32. Dan2eng: wide-coverage Danish-English machine translation ↗Eckhard Bick · Papers
  33. Declarative syntactic processing of natural language using concurrent constraint programming and probabilistic dependency modeling ↗Irene Langkilde-Geary
  34. Development of a Japanese-Chinese machine translation system ↗Hitoshi Isahara, Sadao Kurohashi, Jun'ichi Tsujii et al. · Papers
  35. Domain adaptation of MT systems through automatic post-editing ↗Pierre Isabelle, Cyril Goutte, Michel Simard · Papers
  36. Domain dependent statistical machine translation ↗Jia Xu, Yonggang Deng, Yuqing Gao et al. · Papers
  37. Dutch parallel corpus: MT corpus and translator's aid ↗Lieve Macken, Julia Trushkina, Lidia Rura · Papers
  38. End-to-end evaluation of a speech-to-speech translation system in TC-STAR ↗Olivier Hamon, Djamel Mostefa, Khalid Choukri · Papers
  39. English-Korean patent system: fromTo-EK/PAT ↗Oh-Woog Kwon, Sung-Kwon Choi, Ki-Young Lee et al.
  40. English-Slovenian statistical machine translation: from a lower- to a highly-inflected language ↗Jerneja Žganec Gros, Stanislav Gruden · Papers
  41. Enhancing image-based Arabic document translation using noisy channel correction modelYi Chang, Ying Zhang, Stephan Vogel et al. · Papersour summary
  42. Error correcting system for analysis of Japanese patent sentences ↗Yokoyama Shoichi, Kennendai Shigehiro
  43. Estimating phrase pair relevance for translation model pruning ↗Matthias Eck, Stephan Vogel, Alex Waibel · Papers
  44. Estimation of confidence measures for machine translation ↗Alberto Sanchis, Alfons Juan, Enrique Vidal · Papers
  45. EuroMatrix – machine translation for all European languages ↗Philipp Koehn · Invited papers
  46. Evaluating MT with translations or translators: what is the difference? ↗Martin Volk, Søren Harder · Papers
  47. Evaluating an open-domain GRE algorithm on closed domains system IDs: CAM-B, CAM-T, CAM-BU and CAM-TU ↗Advaith Siddharthan, Ann Copestake
  48. Evaluating evaluation – lessons from the WMT 2007 shared task ↗Philipp Koehn, Chris Callison-Burch
  49. Evaluation of NLG: some analogies and differences with machine translation and reference resolution ↗Andrei Popescu-Belis
  50. Example based machine translation for cross-lingual information retrieval ↗Cristina Vertan · Tutorials
  51. Experiences and conclusions from the CESTA evaluation project ↗Olivier Hamon
  52. Experiments with a noun-phrase driven statistical machine translation system ↗Sanjika Hewavitharana, Alon Lavie, Stephan Vogel · Papers
  53. Faster beam-search decoding for phrasal statistical machine translation ↗Robert C. Moore, Chris Quirk · Papers
  54. Flexible automatic look-up of English idiom entries in dictionaries ↗Koichi Takeuchi, Takashi Kanehila, Kazuki Hilao et al. · Papers
  55. Generalizing syntactic collocates for creative language generation ↗David Hardcastle
  56. Generation issues in machine translation ↗Gregor Thurmair
  57. Generative models of noisy translations with applications to parallel fragment extraction ↗Chris Quirk, Raghavendra Udupa U., Arul Menezes · Papers
  58. Getting professional translation through user interaction ↗Young-Ae Seo, Chang-Hyun Kim, Seong-Il Yang et al. · Papers
  59. Global Public Health Intelligence Network (GPHIN) ↗Michael Blench · Papers
  60. Hindi generation from interlingua ↗Smriti Singh, Mrugank Dalal, Vishal Vachhani et al. · Papers
  61. How much data is needed for reliable MT evaluation? Using bootstrapping to study human and automatic metrics ↗Paula Estrella, Olivier Hamon, Andrei Popescu-Belis · Papers
  62. How portable are controlled language rules? A comparison of two empirical MT studies ↗Sharon O'Brien, Johann Roturier · Papers
  63. How to successfully integrate MT ↗Jen Doyon · Tutorials
  64. Human communication technology – development of speech translation for hand-held devices ↗Akitoshi Okumura · Invited papers
  65. IS-FBN, IS-FBS, IS-IAC: the adaptation of two classic algorithms for the generation of referring expresssions in order to produce expressions like humans do ↗Bernd Bohnet
  66. Impact of controlled language on translation quality and post-editing in a statistical machine translation environment ↗Takako Aikawa, Lee Schwartz, Ronit King et al. · Papers
  67. Improving example-based machine translation through morphological generalization and adaptation ↗Aaron B. Phillips, Violetta Cavalli-Sforza, Ralf D. Brown · Papers
  68. Improving speech-to-speech translation using word posterior probabilities ↗Vicente Alabau, Alberto Sanchis, Francisco Casacuberta · Papers
  69. Improving spoken language translation by automatic disfluency removal: evidence from conversational speech transcripts ↗Sharath Rao, Ian Lane, Tanja Schultz · Papers
  70. Improving statistical word alignment with various clues ↗Dengjun Ren, Hua Wu, Haifeng Wang · Papers
  71. Improving transfer-based MT systems with automatic refinements ↗Ariadna Font Llitjós, Jaime Carbonell, Alon Lavie · Papers
  72. Incorporating constituent structure constraint into discriminative word alignment ↗Wen-Han Chao, Zhou-Jun Li · Papers
  73. Introducing translation dictionary into phrase-based SMT ↗Hideo Okuma, Hirofumi Yamamoto, Eiichiro Sumita · Papers
  74. Investigating why BLEU penalizes non-statistical systems ↗Eduard Hovy
  75. Iterative refinement of lexicon and phrasal alignment ↗Jae Dong Kim, Stephan Vogel · Papers
  76. Japanese-Hungarian dictionary generation using ontology resources ↗István Varga, Shoichi Yokoyama · Papers
  77. LTC tutorial on workflow and business information management in the language industry ↗Adriane Rinsche · Tutorials
  78. Learning bilingual lexicons from comparable English and Spanish corpora ↗Pablo Gamallo Otero · Papers
  79. Lexical translation with application to image searching on the web ↗Oren Etzioni, Kobi Reiter, Stephen Soderland et al. · Papers
  80. Linguistic resources in support of various evaluation metrics ↗Christopher Cieri, Stephanie Strassel, Meghan Lammie Glenn et al.
  81. Log-linear generation models for example-based machine translation ↗Zhanyi Liu, Hifeng Wang, Hua Wu · Papers
  82. METIS-II: the German to English MT system ↗Michael Carl · Papers
  83. MT evaluation & TC-STAR ↗Khalid Choukri, Olivier Hamon, Djamel Mostefa
  84. Machine transliteration using multiple transliteration engines and hypothesis re-ranking ↗Jong-Hoon Oh, Hitoshi Isahara · Papers
  85. Method of selecting training sets to build compact and efficient language model ↗Keiji Yasuda, Hirofumi Yamamoto, Eiichiro Sumita
  86. Microsoft machine translation: from research to real user ↗Stephen Richardson · Invited papers
  87. Morphology-aware statistical machine translation based on morphs induced in an unsupervised manner ↗Sami Virpioja, Jaako J. Väyrynen, Mathias Creutz et al. · Papers
  88. NIL: attribute selection for matching the task corpus using relative attribute groupings obtained from the test data ↗Raquel Hervás, Pablo Gervás
  89. NLG is still relevant to MT ↗Nizar Habash
  90. On portability of resources for a quick ramp up of multilingual MT of patent claims ↗Svetlana Sheremetyeva
  91. One-way translation: an opportunity for NLG and MT research to interact ↗Sebastian Varges
  92. Online and free! Ten years of online machine translation: origins, developments, current use and future prospects ↗Federico Gaspari, John Hutchins · Papers
  93. Online learning methods for discriminative training of phrase based statistical machine translation ↗Abhishek Arun, Philipp Koehn · Papers
  94. POS-based reordering models for statistical machine translation ↗Deepa Gupta, Mauro Cettolo, Marcello Federico · Papers
  95. PanDoRA: a large-scale two-way statistical machine translation system for hand-held devices ↗Ying Zhang, Stephan Vogel · Papers
  96. Patent documentation – comparison of two MT strategies ↗Lene Offersgaard, Claus Povlsen
  97. Phrase alignment for integration of SMT and RBMT resources ↗Akira Ushioda
  98. Rapid development of new language pairs at SYSTRAN ↗Sylvain Surcin, Elke Lange, Jean Senellart · Papers
  99. Report on the NSF-sponsored Human Language Technology Workshop on Industrial Centers ↗Mary Harper, Alex Acero, Srinivas Bangalore et al. · Papers
  100. Robust language pair-independent sub-tree alignment ↗John Tinsley, Ventsislav Zhechev, Mary Hearne et al. · Papers

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